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Related Questions
- How can uncertainty sampling be used to identify the most informative samples for labeling in active learning?
- What are some strategies for detecting concept drift in the data and how can active learning be used to adapt to these changes?
- Can you explain how to use streaming data to adapt to emerging concepts in the data?
- How can active learning be used to identify and prioritize samples that are most relevant to the changing task distribution?
- What are some techniques for leveraging transfer learning to adapt to changing task distributions or emerging concepts in the data?
- Can you discuss the role of human feedback in active learning and how it can be used to adapt to changing task distributions or emerging concepts in the data?
- How can active learning be used to identify and mitigate the impact of concept drift on model performance?
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